A general category of unsupervised approaches utilizes spatial information to cluster sound sources in space [1]}, [2]}, [3]}, [4]}. The posterior cluster labels can be used as masks to isolate the target speech. An approach using the complex angular-central Gaussian mixture model (cACGMM) [2]} clusters the signals, and the resulting labels are used as pseudo-target to train a deep clustering model [6]}.
